Quantitative Models of Criminal Courts.

John B. Jennings

Expert InsightsPublished 1971

Severe problems of congestion and delay have existed in both criminal and civil courts throughout the country for many years. Only in the last few years, however, have the techniques of operations research been applied to the effective administration of these courts. These applications are of two primary types: the allocation of court and related resources, and the scheduling of case appearances. This paper summarizes some recent work in the development of the quantitative models that form the basis of such applications, introduces an original model, and suggests promising areas for further work of this type. The models discussed include analytic and simulation models of case flow, scheduling, and courtroom activities. 31 pp. Ref.

Topics

Document Details

Citation

Chicago Manual of Style

Jennings, John B., Quantitative Models of Criminal Courts. Santa Monica, CA: RAND Corporation, 1971. https://www.rand.org/pubs/papers/P4641.html.
BibTeX RIS

This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.